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Bleiberg, Joshua F.; Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2022
The COVID-19 pandemic upended the U.S. education system and the economy in ways that dramatically affected the jobs of K-12 educators. However, data limitations have led to considerable uncertainty and conflicting reports about the nature of staffing challenges in schools. We draw on education employment data from the Bureau of Labor Statistics…
Descriptors: Elementary Secondary Education, Labor Market, COVID-19, Pandemics
Moore, Colleen – Education Insights Center, 2020
The Education Insights Center produced a series of reports culminating in recommendations for the structure and governance of a preschool through higher education and into the workforce (known as a P20W data system). This brief follows up on that series, with a focus on data quality; the brief was informed by the author's experience using…
Descriptors: Governance, Preschool Education, Elementary Secondary Education, Higher Education
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Gorur, Radhika; Dey, Joyeeta – Critical Studies in Education, 2021
Mapping India's vast, complex, and unruly education system through the systematic generation of accurate and current data, and encouraging accountability by persuading a diverse array of actors to engage with such data, is an ambitious, if not heroic, project. Yet this is what India's Education Information Management System (EMIS), the Unified…
Descriptors: Usability, Data Analysis, Accountability, Information Management
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
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Kadijevich, Djordje M. – British Journal of Educational Technology, 2015
Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…
Descriptors: Mathematics Achievement, Computer Use, Test Items, Problem Sets
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Folsom, Jessica Sidler; Osborne-Lampkin, La'Tara; Herrington, Carolyn D. – Regional Educational Laboratory Southeast, 2014
This document is a companion guide to "A Descriptive Analysis of the Principal Workforce in Florida Schools" (Folsom, Osborne-Lampkin, & Herrington, in press). It describes the methods used to extract information from the Florida Department of Education database in order to conduct a descriptive analysis of the demographic…
Descriptors: Data, Principals, Demography, Administrator Characteristics
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Hansen, Michael – Journal of Educational Research, 2014
Present federal education policies promote learning in science, technology, engineering, and mathematics (STEM) and the participation of minority students in these fields. Using longitudinal data on students in Florida and North Carolina, value-added estimates in mathematics and science are generated to categorize schools into performance levels…
Descriptors: School Effectiveness, Effective Schools Research, Institutional Characteristics, Evidence
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Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
The PIRLS 2011 international database includes data for all questionnaires administered as part of the PIRLS 2011 assessment. This supplement contains the international version of the PIRLS 2011 background questionnaires and curriculum questionnaires in the following 5 sections: (1) Student Questionnaire; (2) Home Questionnaire (Learning to Read…
Descriptors: Questionnaires, Databases, Student Surveys, Teacher Surveys
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Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
DiGiammarino, Frank P. – Executive Educator, 1981
Describes the data management and analysis system of the Lexington (Massachusetts) Public Schools. Discusses the system's database, data dictionary, and end user language and gives examples of the system's use in answering questions about school closings. (RW)
Descriptors: Computer Oriented Programs, Data Analysis, Databases, Educational Administration
Engmark, Jill – 1990
In 1987, the Arizona legislature began a process of establishing statewide goals for the improvement of the state's educational system. A joint legislative committee developed specific goals in the areas of student achievement, high school graduation rate, and postschool employment and college enrollment. To produce the baseline data necessary in…
Descriptors: Data Analysis, Databases, Elementary Secondary Education, Higher Education
Kimball, Chip; Cone, Tom – School Administrator, 2002
Two school districts in Washington State are seeing fundamental shifts in the learning process by using technology as a tool to support data-centric instruction. An effective student-assessment strategy includes comprehensive information about student progress, analysis of assessment information so specific instructional strategies can be…
Descriptors: Data Analysis, Databases, Educational Assessment, Elementary Secondary Education
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Protheroe, Nancy – ERS Spectrum, 2001
Discusses how to make instructional improvement decisions using data-based assessment. Describes three steps in using data-based assessment: developing the right questions, collecting and analyzing the data, and providing staff support to make effective use of the data. Effective use of assessment data requires both quality data and sufficient…
Descriptors: Data Analysis, Databases, Decision Making, Elementary Secondary Education
Weaver, Dave; Holznagel, Don – Reports to Decision Makers, 1984
This report provides a general overview of available courseware for computer assisted instruction by examining the distribution of these packages across grade level, hardware type, instructional mode, and subject areas, including art, business education, computer science, language arts, foreign language, mathematics, science, social studies,…
Descriptors: Computer Assisted Instruction, Courseware, Data Analysis, Databases
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